Triple
T11780189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Grange, Kentucky |
E280122
|
entity |
| Predicate | hasRailwayFeature |
P101263
|
FINISHED |
| Object | CSX Transportation freight line on Main Street |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: CSX Transportation freight line on Main Street | Statement: [La Grange, Kentucky, hasRailwayFeature, CSX Transportation freight line on Main Street]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRailwayFeature Context triple: [La Grange, Kentucky, hasRailwayFeature, CSX Transportation freight line on Main Street]
-
A.
hasRailwayInfrastructureType
Indicates that an entity possesses or is associated with a specific type or category of railway infrastructure.
-
B.
hasRail
chosen
Indicates that something is equipped with, includes, or is connected to a rail or rail system.
-
C.
hasRackRailway
Indicates that one entity possesses or includes a rack railway system connecting locations or operating within its area.
-
D.
hasRailRoute
Indicates that there exists a rail-based transportation route or connection between the related entities.
-
E.
hasRailFacility
Indicates that an entity possesses or is served by a rail-related facility, such as a railway station, terminal, or yard.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a8c2e8b08190a31b1e284fca2aee |
completed | April 10, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_69d8a242cd8c819086ed6c5f292dc8cb |
completed | April 10, 2026, 7:09 a.m. |
Created at: April 8, 2026, 9:42 p.m.